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Remote Python Sql Developer Jobs in Texas (NOW HIRING)

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/yr

Python, SQL * Cloud: Azure * Adjacent: Hex, MCP Requirements * 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stages. * Strong Python and SQL.

IMC Associates

SW & Eng Mgr Python

Houston, TX · On-site +1

Python: Sr. Software Engineer and Engineering Managers Locations: NYC, Texas - Each Position Can Be On Site, Partially or 100% Remote 115k - 185K base with some flex - Fulltime Depending On ...

WaveStrong, Inc.

Remote: Cobol Developer with Hogan

Dallas, TX · Remote

$49.75 - $67.25/hr

Exciting Remote Cobol Developer with Hogan contract opportunity. Requirements Design, code, test ... DB2 SQL programming and performance-tuning skills Experience working with VSAM files (ESDS, KSDS ...

NEP GROUP

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... strong Python, SQL, and Spark skills * Hands-on experience building and automating ETL/ELT ...

WaveStrong, Inc.

Remote: Cobol Developer with Hogan

Dallas, TX · On-site +1

$49.75 - $67.25/hr

Exciting Remote Cobol Developer with Hogan contract opportunity. Requirements • Design, code ... DB2 SQL programming and performance-tuning skills • Experience working with VSAM files (ESDS ...

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Remote Python Sql Developer information

What is the difference between Remote Python Sql Developer vs Data Analyst?

AspectRemote Python Sql DeveloperData Analyst
Required SkillsPython, SQL, data manipulation, scriptingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech-focused teams, software development projectsRemote or on-site, business intelligence, reporting teams
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, healthcare, consulting firms

Remote Python Sql Developers focus on building data pipelines, automating data processes, and developing software solutions using Python and SQL. Data Analysts interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, Python expertise is more central for developers, whereas analysts emphasize statistical and visualization tools. The roles often overlap in data handling but differ in technical depth and project scope.

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Senior Data Engineer

Billee Technologies, Inc

Dallas, TX • On-site, Remote

$98K - $133K/yr

Full-time

Posted 28 days ago

Job description

Senior Data Engineer
At Billee, we're building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.
Our intelligence platform turns raw utility and billing data into actionable intelligence and regulatory peace of mind for multifamily property operators. Our platform is past the "greenfield" phase - foundational modeling is underway, our stack is chosen, and the roadmap is set. We're hiring our second dedicated data engineer to partner with our existing data engineer and help us move from foundation to scale.
What you'll work on
  • Reporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and rate trends.
  • AI-ready data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, vector, or graph-based.)
  • Dimensional modeling at the core. Contribute robust facts and dimensions that power analysis us and for our customers.
  • Platform reliability. Own testing, lineage, freshness monitoring, and alerting so data issues are caught before a customer sees them.
  • Cross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs.
Our stack
  • Warehouse: MotherDuck / DuckDB
  • Orchestration: Dagster
  • Transformation: DBT
  • Language: Python, SQL
  • Cloud: Azure
  • Adjacent: Hex, MCP
Requirements
  • 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stages.
  • Strong Python and SQL.
  • Hands-on DBT experience.
  • Dimensional modeling fluency. Star schemas, facts and dimensions
  • Direct experience with our stack is a significant plus. In order of preference:
    • Dagster (asset-based orchestration, sensors, partitions) - strongly preferred over Airflow experience alone
    • DuckDB or MotherDuck - even side-project or exploratory use
  • Comfort analyzing data directly.
Bonus
  • Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval
  • Azure experience
  • Utility, energy, PropTech, or billing domain background
  • Experience building data products for external customers (not just internal BI)
Who we're looking for
  • Collaborative builder. You turn vague requirements into concrete solutions by asking good questions, not by guessing.
  • Comfortable with ambiguity. Our roadmap shifts; you can prioritize and make progress on incomplete information.
  • Ownership mindset. You treat the platform as a product - monitoring and proactive thinking about future needs
  • Quality advocate. You believe tests, observability, and lineage are features, not overhead.
  • Curious about new tooling. You've been watching the modern data stack evolve and have opinions - about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelines.
  • No-task-too-small mindset. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline

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